Handbook of Multibiometrics

Ross, Arun A. (West Virginia University, Morgantown); Jain, Anil K.; Nandakumar, Karthik; Zhang, David

ISBN 10: 0387222960 / ISBN 13: 9780387222967

Edité par Springer-Verlag New York Inc., 2006

Offers an examination of the science and technology behind multimodal human recognition systems, as well as the ramifications for security systems and other areas of application. This book demonstrates the advantages of these systems over their traditional and unimodal counterparts. Series: International Series on Biometrics. Num Pages: 198 pages, 65 black & white illustrations, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 155 x 14. Weight in Grams: 1090. . 2006. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780387222967

Synopsis :

Multimodal biometric systems use multiple sensors to capture data about different biometric traits, such as fingerprints, iris patterns, signatures, and gait, thereby offering the promise of higher reliability than conventional human verification systems that rely on merely any one of these traits. Here is an accessible, focused examination of the science and technology behind multimodal human recognition systems, as well as the ramifications for security systems and other areas of application. After clearly introducing multibiometric systems, this book demonstrates the noteworthy advantages of these systems over their traditional and unimodal counterparts. In addition, this work describes the various scenarios possible when consolidating evidence from multiple biometric systems. This authoritative, comprehensive handbook on multimodal biometric systems concisely and clearly outlines their great promise for higher reliability than conventional human verification systems.

Détails bibliographiques

Titre : Handbook of Multibiometrics
Éditeur : Springer-Verlag New York Inc.
Date d'édition : 2006
Reliure : Couverture rigide
Etat : New